Possibility to Detect Glycemia with Heart Rate Variability in Patients with Type 2 Diabetes Mellitus in a Non-Invasive Glycemic Monitoring System

Abstract

Two versions of the mathematical model that detect different glycemia cases using heart rate variability (HRV) values taking into account the patient age have been developed and evaluated. HRV and glucose data have been obtained from 128 patients with type 2 diabetes mellitus (T2DM). Based on the evaluation results, the fundamental possibility of developing a non-invasive glycemia monitoring system based on one of the model variants has been confirmed. To increase the accuracy of the model, it is necessary to conduct a similar study involving patients without annotated type 2 diabetes.